Dynamic Online Computerized Neuropsychological Testing System

Traditional cognitive testing for detecting cognitive impairment (CI) can be inaccessible, expensive, and time consuming. This dissertation aims to develop an automated online computerized neuropsychological testing system for rapidly tracking an individual’s cognitive performance throughout the user’s daily or weekly schedule in an unobtrusive way. By utilizing embedded microsensors within tablet devices, the proposed context-aware system will capture ambient and behavioral data pertinent to the real-world contexts and times of testing to compliment psychometric results, by providing insight into the contextual factors relevant to the user’s testing efficacy and performance.